Lukas Kenner

Guest Professor

Umeå University

Sweden

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Lukas Kenner is a Guest Professor at the University of Umeå, Sweden. His research primarily focuses on molecular imaging techniques, particularly in relation to prostate cancer and acute myeloid leukemia. Recent publications include studies on drug adsorption on nanoplastics and the implications of specific gene expressions in cancer prognosis. Professor Kenner contributes significantly to advancing understanding in oncological imaging and treatment strategies.

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2024

Collaborators (12)

Christina Wagner

University of Veterinary Medicine Vienna

AUSTRIA

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Martin Raigel

University of Veterinary Medicine Vienna

AUSTRIA

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Bruno K Podesser

Medical University of Vienna

AUSTRIA

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Tero Aittokallio

University of Helsinki

FINLAND

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Geoffrey Brown

UNITED KINGDOM

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Marcus Hacker

Univ. Prof. Dr. med., Full Professor for Nuclear Medicine and Director

Medical University of Vienna

AUSTRIA

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Sanna Timonen

University of Helsinki

FINLAND

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Cecile Philippe

Medical University of Vienna

AUSTRIA

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Xiang Li

Professor

Medical University of Vienna

AUSTRIA

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Satu Mustjoki

University of Helsinki

FINLAND

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Diaaeldin I. Abdallah

Professor - Chemistry

Humber College

CANADA

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Attila Kiss

Assistant Professor

Medical University of Vienna

AUSTRIA

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Lukas Kenner

Research Interests

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Articles (10)

Molecular Imaging of Fibroblast Activation Protein in Response to Cardiac Injury Using [<sup>68</sup>Ga]Ga-DATA<sup>5m</sup>.SA.FAPi

Comparison of discovery rates and prognostic utility of [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT and circulating tumor DNA in prostate cancer-a cross-sectional study.

Targeting Androgen, Thyroid Hormone, and Vitamin A and D Receptors to Treat Prostate Cancer

Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [<sup>68</sup>Ga]Ga-PSMA-11 PET/MRI.

Dual specific STAT3/5 degraders effectively block acute myeloid leukemia and natural killer/T cell lymphoma.

Cell-autonomous IL6ST activation suppresses prostate cancer development via STAT3/ARF/p53-driven senescence and confers an immune-active tumor microenvironment.

The adsorption of drugs on nanoplastics has severe biological impact.

Low SMARCD3 expression is associated with poor prognosis in patients with prostate cancer.

A novel assessment of whole-mount Gleason grading in prostate cancer to identify candidates for radical prostatectomy: a machine learning-based multiomics study.

Screening for oncogenic AF1q expression predicts disease recurrence in gastric cancer patients.

Collaborators (12)

Christina Wagner

Martin Raigel

Bruno K Podesser

Tero Aittokallio

Geoffrey Brown

Marcus Hacker

Sanna Timonen

Cecile Philippe

Xiang Li

Satu Mustjoki

Diaaeldin I. Abdallah

Attila Kiss

Make your next move.

Lukas Kenner

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Molecular Imaging of Fibroblast Activation Protein in Response to Cardiac Injury Using [<sup>68</sup>Ga]Ga-DATA<sup>5m</sup>.SA.FAPi

Comparison of discovery rates and prognostic utility of [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT and circulating tumor DNA in prostate cancer-a cross-sectional study.

Targeting Androgen, Thyroid Hormone, and Vitamin A and D Receptors to Treat Prostate Cancer

Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [&lt;sup&gt;68&lt;/sup&gt;Ga]Ga-PSMA-11 PET/MRI.

Dual specific STAT3/5 degraders effectively block acute myeloid leukemia and natural killer/T cell lymphoma.

Cell-autonomous IL6ST activation suppresses prostate cancer development via STAT3/ARF/p53-driven senescence and confers an immune-active tumor microenvironment.

The adsorption of drugs on nanoplastics has severe biological impact.

Low SMARCD3 expression is associated with poor prognosis in patients with prostate cancer.

A novel assessment of whole-mount Gleason grading in prostate cancer to identify candidates for radical prostatectomy: a machine learning-based multiomics study.

Screening for oncogenic AF1q expression predicts disease recurrence in gastric cancer patients.

Collaborators (12)

Christina Wagner

Martin Raigel

Bruno K Podesser

Tero Aittokallio

Geoffrey Brown

Marcus Hacker

Sanna Timonen

Cecile Philippe

Xiang Li

Satu Mustjoki

Diaaeldin I. Abdallah

Attila Kiss

Make your next move.

Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [<sup>68</sup>Ga]Ga-PSMA-11 PET/MRI.